GitHub topics: real-world-ml-project
igopalakrishna/colorectal-cancer-prediction
Full-stack MLOps pipeline for predicting colorectal cancer patient survival using Gradient Boosting, Kubeflow Pipelines, MLflow, and Flask. Designed for hospitals, researchers, and real-world healthcare applications.
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asghar-rizvi/Health-Risk-Prediction-Platform-with-Flask-and-Machine-Learning
A Health Risk Prediction Platform using Flask and machine learning to predict heart attacks, kidney disease, liver disease, and diabetes. Features a user-friendly interface with HTML, CSS, and JavaScript, along with secure authentication, encrypted passwords, and session management. MySQL is used for database operations, achieving 98% model accurac
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
